gjreda

10 ms·

1. 61.▲
   by gjreda 13y ago

   Alternatively, I think you could also do: myframe.myfield.dropna().astype(float) I'd need to test that out though - type conversion in pandas/NumPy has always been a little confusing for me.
2. 62.▲
   by gjreda 13y ago

   Thanks! My concern was that it actually _was_ too long winded, so I'm glad to hear otherwise. Thanks for pointing this out too - had no idea it'd handle a URL.
3. 63.▲
   by gjreda 13y ago

   There's also Vincent[1], which has some mapping capabilities and is built on top of Vega (a "visualization grammar" for d3js). [1]: https://github.com/wrobstory/vincent
4. 64.▲
   by gjreda 13y ago

   My workflow is very similar. All data analysis, all the time. Tools: Lots of SQL (MySQL). AWS Elastic MapReduce + Hive for log analysis. Python (pandas). R (ggplot2 + stat modeling - haven't fully grok'd Python's statsmodels
5. 65.▲
   Useful Unix commands for data science(gregreda.com)

   221 points by gjreda 13y ago|106 comments
6. 66.▲
   Using Ghost.py and matplotlib to visualize JavaScript's Math.random function(gregreda.com)

   2 points by gjreda 13y ago|0 comments
7. 67.▲
   by gjreda 13y ago

   Pretty impressive for a first post with d3. Really nicely done.
8. 68.▲
   by gjreda 13y ago

   I like that this only covers left outer joins as opposed to left and right outer joins. The difference between the two is sometimes confusing for people, so I've always suggested that people learn one and stick with it, since you can accomp
9. 69.▲
   More Scraping with Python and BeautifulSoup (and a map)(gregreda.com)

   2 points by gjreda 13y ago|0 comments
10. 70.▲
    by gjreda 14y ago

    I think the lack of a ggplot2 equivalent is one of the main things holding people back from fully converting from R to Python - I know it is for me. Once you really understand the ggplot2 syntax and style, making your graphics seems to com
11. 71.▲
    by gjreda 14y ago

    I mostly enjoyed Python for Data Analysis, but do agree that there was too much focus on pandas (though that was to be expected with Wes McKinney writing it). I would have loved if the book had included sections on the statsmodels and sciki
12. 72.▲
    Write online about what you love(gregreda.com)

    1 points by gjreda 14y ago|0 comments
13. 73.▲
    by gjreda 14y ago

    I've been using BeautifulSoup for a couple years, so it's what I'm most comfortable with. I'd heard of scrapy before, but had never given it a seriously look. That'll change based on all the positive things I've read about it in this thre
14. 74.▲
    by gjreda 14y ago

    I've heard this from countless people who have read the post. It's definitely made me want to look into Scrapy.
15. 75.▲
    by gjreda 14y ago

    Brian Boyer did the same when he was leading the news apps team at the Chicago Tribune (I believe he left for NPR this past summer). The team's motto was "Show your work." https://github.com/newsapps
16. 76.▲
    by gjreda 14y ago

    SciPy Superpack easily installs iPython, SciPy, NumPy, Matplotlib, and others on OSX.